Cover Image

Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qian, Chen, Zhang, Haoyu, Gao, Yuncheng, Han, Mingyang, Wang, Zi, Ruan, Dan, Shen, Yu, Wu, Yaping, Zhou, Yirong, Wang, Chengyan, Jiang, Boyu, Tao, Ran, Wu, Zhigang, Wang, Jiazheng, Zhu, Liuhong, Guo, Yi, Kang, Taishan, Lin, Jianzhong, Gong, Tao, Yang, Chen, Fei, Guoqiang, Lin, Meijin, Guo, Di, Zhou, Jianjun, Wang, Meiyun, Qu, Xiaobo
Format:	Preprint
Published:	2022
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
by: Zhou, Yirong, et al.
Published: (2022)

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI
by: Zhou, Yirong, et al.
Published: (2024)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
by: Wang, Zi, et al.
Published: (2023)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI
by: Wang, Zi, et al.
Published: (2024)

Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning
by: Qian, Chen, et al.
Published: (2025)

Single‐shot T 2 mapping via multi‐slice information sharing based on switching modulation patterns multiple overlapping‐echo detachment imaging
by: Chenyang Dai, et al.
Published: (2025)

Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRS
by: Chen, Runhan, et al.
Published: (2025)

Strength Training is Associated With Less Knee Osteoarthritis: Data From the Osteoarthritis Initiative: Comment on the Article by Lo et al
by: Yuncheng Bai, et al.
Published: (2024)

Refining the Information Bottleneck via Adversarial Information Separation
by: Ning, Shuai, et al.
Published: (2026)

Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
by: Chen, Mingyang, et al.
Published: (2025)

Learning Optimal Multimodal Information Bottleneck Representations
by: Wu, Qilong, et al.
Published: (2025)

Efficient RLVR Training via Weighted Mutual Information Data Selection
by: Zhou, Xinyu, et al.
Published: (2026)

Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method
by: Guo, Zhixin, et al.
Published: (2024)

Alternating Deep Low-Rank Approach for Exponential Function Reconstruction and Its Biomedical Magnetic Resonance Applications
by: Huang, Yihui, et al.
Published: (2022)

Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
by: Zhai, Xinlong, et al.
Published: (2025)

A note on four dimensional Shrinking Gradient Ricci Solitons with Constant Scalar Curvature
by: Wang, Chen, et al.
Published: (2026)

A note on Rigidity of Shrinking Gradient Ricci Solitons with Constant Scalar Curvature
by: Wang, Chen, et al.
Published: (2026)

Energy based diffusion generator for efficient sampling of Boltzmann distributions
by: Wang, Yan, et al.
Published: (2024)

Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning
by: Shen, Chengchao, et al.
Published: (2024)

Advanced Multi‐Blockchain Methods for Privacy‐Enhanced IoT ‐Driven Supply Chain Collaboration
by: Jiazheng Lin, et al.
Published: (2026)

Error Bound Analysis of Physics-Informed Neural Networks-Driven T2 Quantification in Cardiac Magnetic Resonance Imaging
by: Zhang, Mengxue, et al.
Published: (2025)

An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS
by: Lin, Meijin, et al.
Published: (2025)

Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach
by: Li, Shujing, et al.
Published: (2024)

A Comprehensive Review for the Straightforward Preparation of Trifluoromethylated Internal Alkynes
by: Xiaohua Wang, et al.
Published: (2026)

Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
by: Guo, Yongxin, et al.
Published: (2024)

Low-rank Prompt Interaction for Continual Vision-Language Retrieval
by: Yan, Weicai, et al.
Published: (2025)

A Survey on Data Augmentation in Large Model Era
by: Zhou, Yue, et al.
Published: (2024)

Bridging the Gap for Test-Time Multimodal Sentiment Analysis
by: Guo, Zirun, et al.
Published: (2024)

Exploring GPT‐4.0's efficiency in handling paediatric appendicitis questions
by: Defeng Zeng, et al.
Published: (2024)

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF
by: Meijin Lin, et al.
Published: (2025)

Efficient Prompting for Continual Adaptation to Missing Modalities
by: Guo, Zirun, et al.
Published: (2025)

Online Randomized Distributionally Robust Forecast Combination for Dependent Data
by: Tao Wang
Published: (2026)

Preventive Audits for Data Applications Before Data Sharing in the Power IoT
by: Wang, Bohong, et al.
Published: (2024)

Stochastic variance reduced gradient method for linear ill-posed inverse problems
by: Jin, Qinian, et al.
Published: (2024)

Synthesizing Tabular Data Using Selectivity Enhanced Generative Adversarial Networks
by: Zhou, Youran, et al.
Published: (2025)

FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection
by: Luo, Yiming, et al.
Published: (2025)

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
by: Li, Zilong, et al.
Published: (2022)

Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)

Protecting Activity Sensing Data Privacy Using Hierarchical Information Dissociation
by: Wang, Guangjing, et al.
Published: (2024)

High Energy Density Non‐Contact Bidirectional Spinning Oscillating Float‐Type Triboelectric Nanogenerators for Energy Extraction From Irregular Waves
by: Feng Chen, et al.
Published: (2024)